TWI566690B - Queen bees breeding estimation method - Google Patents

Description

Bee King Breeding Evaluation Method

The present invention relates to an insect breeding evaluation method; in particular, to a method for evaluating queen bee breeding which can automatically breed excellent queen bee varieties for bee habits.

In nature, plants need insects (such as bees, etc.) to assist pollination and reproduction of offspring. Taking bees as an example, bee colonies are maternal society, mainly composed of a queen bee (Queen Bee), a few drones and most worker bees. Worker bees can collect pollen to produce bee colony nutrition. Sources (such as honey, royal jelly and propolis, etc.), the drone is responsible for mating with the queen bee, the queen bee is responsible for spawning and maintaining the bee colony. Among them, the ability of the queen bee is closely related to the production of the bee colony's nutrient source (bee product). The queen bee will be replaced by the bee colony with its low capacity. However, in order to avoid the yield and quality of the bee product, the beekeeper usually adopts the artificial method. Regularly (eg, one year) replace the new queen (ie, change the king).

Before the change of the king's work, the most important pre-work is to breed the superior breed of the queen bee (ie, the king), and the breeding methods of the known bee king are mostly carried out manually, such as: inspection of the number of bee colonies and activity of each beehive, After recording, the male bee and the virgin bee (reserve bee king) are selected by experience to facilitate the virgin bee and the drone to mate in the air and then become a queen to fly back to the beehive (about 7 to 12 days). During this period, the old queen bee can be removed manually. Eli successfully completed the job of changing the king.

In the process of raising the king, because the virgin bee in each beehive has different emergence time from the Queen Cell Cup, the success of the virgin bee flying out of mating will affect whether or not the box will be returned (if it is not returned, there will be no king. The noisy phenomenon) affects the selection of the father and mother group of the queen bee. However, it is difficult to manually miss the best mating time of the bee kings of each box, and it is difficult to visually judge whether the new queen is returning to the box or according to objective indicators (such as collecting honey). The amount of milk, the amount of milk produced, and the amount of powder collected.) The evaluation of the combination of the parental source of the new queen's parents, leading to poor results caused by human error or poor experience, such as the need to invest a large number of larvae Wangtai to successfully raise the king.

In view of this, it is necessary to improve the shortcomings of the prior art described above to meet practical needs and improve its practicability.

The invention provides a method for evaluating queen bee breeding, which can automatically evaluate the optimal breeding combination of queen bee according to the habit habit.

The invention discloses a method for evaluating queen bee breeding, which comprises: a preparation step, a computer system can be connected to a database, and the database can store parameters of several maternal sources and parameters of several parent sources for performing a breeding process. Wang operation, the computer system can be coupled to at least one sound receiver for measuring the volume of a beehive, the beehive can contain a queen bee and a plurality of bees; an estimating step can be calculated by the computer system according to the parameters of the parent source The parent group score can be calculated according to the parameters of the parent source, and the average value of each parent group score and each parent group score can be calculated as a candidate mean value; a selection step can be selected by the computer system. The maternal source and the parent source corresponding to the maximum value of the candidate mean values are output as a candidate combination, and a user can perform a pairing step after the queen is removed from the old process; and the pairing step can be performed by the computer system through the sounder Monitoring the volume of the beehive, if the volume rises above a threshold, and then falls below the threshold, the candidate combination is output as a Yuwang combination, otherwise, the Corresponding to the candidate combination of a candidate mean the re-breeding step, until the output of the king incubated with or without the composition until the mean value candidate.

In the estimating step, the parent source number is f, the parent source number is m, and the m-th parent source group score is calculated as follows. Where BMS _m is the mother group score of the mth maternal source, W _m1 is the honey weight of the mth maternal source, W _m2 is the milk weight of the mth maternal source, and W _m3 is the mth maternal source Powder weight, W _m4 is the leadership weight of the mth parent source, W _m5 is the health weight of the mth parent source, and W _m6 is the cost weight of the mth parent source. Where IE _mi is the i-th parameter of the mth maternal source, and i=1~6 are respectively a honey-collecting amount, a milk yield, a powder-collecting amount, a leadership coefficient, a health factor, and a cost coefficient. EB _i is the maximum value of the ith parameter, ES _i is the minimum value of the ith parameter, and E _mi is the original data of the ith parameter. The maximum value of the original data for the ith parameter, The minimum value of the original data of the i-th parameter; the parent group score of the f-th parent source can be calculated as follows: Where BFS _f is the parent group of the fth parent source, W _f1 is the production weight of the _fth parent source, W _f2 is the leadership weight of the fth parent source, and W _f3 is the tame weight of the fth parent source W _f4 is the disease resistance weight of the _fth parent source, and W _f5 is the hard work weight of the fth parent source. Where QE _fj is the jth parameter of the fth parent source, qE _fk is the kth coefficient of the _fth parent source, and k=1~5 is a production coefficient, a leadership coefficient, a tempering coefficient, and a Disease resistance coefficient, a diligence factor, EB _j is the maximum value of the jth parameter, ES _j is the minimum value of the jth parameter, and E _fk is the original data of the kth coefficient. The maximum value of the raw data for the kth parameter, The minimum value of the original data for the kth parameter.

The calculation method of each candidate mean value may be as follows: Where l is the combination number of the parent source and the parent source, SUM _l is the candidate mean of the first parent source and the parent source combination, BMS _m is the mother group score of the mth parent source, BFS _f is the f The parent group's parent group score.

The honey weight of the mth parent source may be 20%, the milk weight of the mth maternal source may be 20%, and the weight of the mth maternal source may be 20%, the mth maternal source The leadership weight can be 15%, the health weight of the mth maternal source can be 15%, and the cost weight of the mth maternal source can be 10%.

The production weight of the fth parent source may be 20%, the leadership weight of the fth parent source may be 20%, the tame weight of the fth parent source may be 20%, and the resistance of the fth parent source is Can be 20%, the industrious weight of the fth parent can be 20%.

The plurality of parent group scores may be scores of several parent groups, a number of parent group milk scores, or several parent group meal scores.

The method for evaluating the breeding of the bee king can be measured by the computer system and the sound receiver, and the volume of the beehive can be measured by the computer system and the radio, and the optimal breeding of the queen bee can be automatically determined according to the habit habits of the bee colony by objective indicators (such as the amount of honey collected, the amount of milk produced, and the amount of powder collected). Combination, no need to manually check the box can be completed, you can achieve the "automatically find the optimization of the generation of the next generation of the queen of the bee king, the parent source of the combination of the king of the king" effect, can rule out the breeding method of the known bee king "easy to miss the best mating of the bee king of each box "Time", "It is difficult to visually judge whether the new queen is returning to the box", "cannot evaluate the Yuwang combination of the source of the new queen's parents based on objective indicators" and "bad results caused by human error or poor experience transfer".

1‧‧‧ computer system

2‧‧‧Audio

3‧‧‧ Beehive

C‧‧‧Volume curve

S1‧‧‧Preparation steps

S2‧‧‧ Estimation steps

S3‧‧‧ breeding steps

S4‧‧‧ Pairing steps

Fig. 1 is a system block diagram showing an embodiment of the method for evaluating queen bee breeding of the present invention.

Fig. 2 is a flow chart showing the method of the method for evaluating the breeding of the queen bee of the present invention.

Fig. 3 is a graph showing the measurement of the bee volume of the embodiment of the queen bee breeding evaluation method of the present invention.

The above and other objects, features and advantages of the present invention will become more <RTIgt;

The "coupled connection" as used throughout the present invention means that two electronic devices can communicate with each other via wired or wireless technologies (eg, Ethernet or Zigbee, etc.), such as heterogeneous networks including wires and wireless networks. However, it is not limited thereto, and those skilled in the art to which the present invention pertains can understand.

The "mother source" as used throughout the present invention refers to the source of the female bee used to breed the queen bee, such as female bee larvae of different manufacturers, but not limited thereto, which has the technical field of the present invention. Usually the knowledge person can understand.

The "father source" as used throughout the present invention refers to the source of the drone used to breed the queen bee, such as the drone of the beekeeper's own beehive, but is not limited thereto, and is generally in the technical field to which the present invention pertains. Knowledge people can understand.

The "bee queen removing the new cloth process" as described in the full text of the present invention means that the user manually places the larvae from the mother source and the male bee selected from the parent source into a beehive, and at the same time, the beehive can be removed by the user. The queen bee, to facilitate the creation of the new queen of the beehive, is understood by those of ordinary skill in the art to which the present invention pertains.

Please refer to FIG. 1 , which is a system block diagram of an embodiment of the method for evaluating queen bee breeding of the present invention. The system embodiment can connect a computer system 1 to a database (not shown), and the database can store a plurality of parameters of the parent source and parameters of the plurality of parent sources for performing a parenting operation. The computer system 1 is coupled to at least one microphone 2 for measuring the volume of at least one beehive 3, which contains a queen bee and a plurality of bees (not shown). In this embodiment, the bee can be a special variety of various bees (such as bees, etc.) (such as: Italian bees, etc.); the computer system 1 can be a device or platform with data input and output functions; The device 2 can be a device with a sound recording function, such as a decibel or a microphone, but not limited thereto; the beehive 3 only Take one as an implementation, but it can also be increased according to actual needs. There is no limit here.

Please refer to FIG. 2, which is a flow chart of the method of the method for evaluating the breeding of the queen bee of the present invention. The method embodiment may include a preparation step S1, an estimation step S2, a selection step S3, and a pairing step S4. Please refer to Figure 1 together, as explained below.

In the preparation step S1, the computer system can be connected to the database, and the database stores parameters of the plurality of maternal sources and parameters of the plurality of parent sources for performing the brooding operation, the computer system is coupled to the at least one radio For measuring the volume of the beehive, the beehive contains a queen bee and several bees. In this embodiment, the computer system 1 can directly read the pre-stored parameters in the database or input the original data by the user and then convert the parameters into the parameters. The parameters of each parent source can be the amount of honey collected, the milk produced. Quantitative 〞, 〝 mining amount 〞, 〝 leadership coefficient 〞, 〝 health factor 〞 and 〝 cost coefficient 〞, etc., the parameters of each parent source can be 〝 production weight 〝, 〝 leadership weight 〝, 〝 驯 驯 驯 〞 〞 〞 Weights, hard work, heavy burdens, etc., but not limited to this.

In the estimating step S2, the computer system may calculate a plurality of parent group scores according to the parameters of the parent source, calculate a plurality of parent group scores according to the parameters of the parent source, and calculate an average value of each parent group score and each parent group score respectively. Candidate mean. The parent source number is f(f=1, 2, 3, ...), and the parent source number is m (m=1, 2, 3, ...). In this embodiment, as shown in FIG. 1, the computer system 1 can assume that the mother group score of the mth maternal source can be calculated as shown in the following formula (1). Where BMS _m is the mother group score of the mth maternal source, W _m1 is the honey weight of the mth maternal source (eg 20%), and W _m2 is the milk weight of the mth maternal source (eg 20 %), W _m3 is the weight of the mth parent source (eg 20%), W _m4 is the leadership weight of the mth parent source (eg 15%), and W _m5 is the health of the mth parent source Weight (eg 15%), W _m6 is the cost weight of the mth parent source (eg 10%), used to obtain better depreciation calculation results, the value of each weight can also be fine-tuned according to different needs. There is no limit; in addition, IE _mi can be calculated as shown in the following formula (2): Where IE _mi is the i-th parameter of the mth maternal source, and i=1~6 are respectively a honey-collecting amount, a milk yield, a powder-collecting amount, a leadership coefficient, a health factor, and a cost coefficient. EB _i is the maximum value of the ith parameter, ES _i is the minimum value of the ith parameter, and E _mi is the original data of the ith parameter. The maximum value of the original data for the ith parameter, The minimum value of the original data for the ith parameter.

In addition, in this embodiment, the plurality of parent group scores may be a plurality of parent group scores, a plurality of parent group milk scores, or a plurality of parent group meal scores, etc., the computer system 1 may assume the fth parent The parent group score of the source is calculated as shown in the following formula (3): Which, BFS _f is the f th paternal parent group scores, W _f1 for the production rights of the f Father source of weight (eg: 20%), W _f2 for the leadership of the f Father source of weight (eg: 20%) W _f3 is the tame weight of the fth parent source (eg 20%), W _f4 is the disease resistance weight of the fth parent source (eg 20%), and W _f5 is the industrious weight of the fth parent source ( For example, 20%), in order to obtain better numerical calculation results, the values of each weight can also be fine-tuned according to different needs, and there is no limit here; in addition, QE _fj can be calculated as shown in the following formula (4): Where QE _fj is the jth parameter of the fth parent source, qE _fk is the kth coefficient of the _fth parent source, and k=1~5 is a production coefficient, a leadership coefficient, a tempering coefficient, and a Disease resistance coefficient, a diligence factor, EB _j is the maximum value of the jth parameter, ES _j is the minimum value of the jth parameter, and E _fk is the original data of the kth coefficient. The maximum value of the raw data for the kth parameter, The minimum value of the original data of the kth parameter; in addition, the calculation method of each candidate mean value can be as shown in the following formula (5). Where l is the combination number of the parent source and the parent source, such as: 1, 2, 3, ..., SUM _l is the candidate mean of the combination of the first maternal source and the parent source, and BMS _m is the mth maternal source The parent group score, BFS _f is the parent group of the fth parent source.

In the breeding step S3, the computer system may select the parent source and the parent source corresponding to the maximum value among the plurality of candidate mean values as a candidate combination, and output the result for a user to perform a pairing step after performing a new process of removing the old king. . In this embodiment, the computer system 1 may first sort the plurality of candidate mean values, such as: using a bubble sorting method, etc., to select a parent source and a parent source corresponding to the highest ranked one of the plurality of candidate mean values ( That is, the breeding combination for the generation of the queen bee) as the candidate combination, and outputting the candidate combination (such as: displaying, playing sound or printing a message, etc.) for the user to perform the new process of the queen bee, that is, The larvae from the maternal source of the candidate combination and the male bee selected from the parental source of the candidate combination are placed in the beehive 3, wherein the larvae of the maternal source can be first placed in the Queen Cell Cup, the parent source The drone can be placed in an artificial honeycomb (Honeycomb) to be placed in the beehive 3, and when the larvae of the king of the beehive 3 are turned into a virgin bee, the virgin bee and the drone can mate in the air to make the virgin bee become a queen bee, and then Fly back to the beehive, this process is about 7 to 12 days; during this process, the beekeeper of the beehive can be removed by the user to facilitate the bee colony to accept the new queen. After that, the computer system 1 can wait for a waiting time (eg: Automatically after one day) Pairing step S4, the user may wait for further input instructions to the pairing step S4, this is not restrictions.

In the pairing step S4, the computer system can monitor the volume of the beehive by the radio. If the volume rises above a threshold, and then falls below the threshold, the candidate combination is output as a Yuwang combination. Otherwise, the candidate mean corresponding to the candidate combination is eliminated, and the breeding step S3 is repeated until the parental combination is output or there is no candidate mean. Implemented here In the example, due to the habit of the bee, if there is no bee king in the beehive 3, the worker bee in the box will gradually become panic from a calm state, and beep, before the new queen is not flying into the beehive 3, The output signal of the radio 2 can be received by the computer system 1 for monitoring the volume of the beehive 3, and if the volume rises above a threshold (eg, 75 decibels), after a period of time (eg, 7 to 12 days) And then fall below the threshold (such as the volume curve C shown in Figure 3), which means that the new queen has flew into the beehive 3, and the worker bee in the box can gradually return to calm after panic. In the state, the computer system 1 can recognize that the larva of the maternal source has become the queen bee of the beehive 3, and output the candidate combination as the breeding combination for the user to use the breeding combination as the parent source of other queen bees. , maternal source; otherwise, it may indicate that some unpredictable factors are obstructed (eg, the queen is not flying back into the box, flying the wrong beehive or not being accepted by the bee colony), and the computer system 1 can eliminate the candidate mean corresponding to the candidate combination. Re-run the breeding step S3, in order to select the parent source and the parent source corresponding to the highest ranked one of the plurality of candidate mean values as another candidate combination, for the user to perform another new process of the queen bee, and then repeat the pairing step S4 until the output The Yuwang combination may not have the candidate mean. The user can also repeat the embodiment of the bee breeding evaluation method of the present invention according to actual needs, so as to produce a queen bee with special functions. By analogy, it can automatically find out the combination of the parent and source of the progeny of the queen, and eliminate the bad results caused by human error or poor experience. For example, it is necessary to put a lot of larvae into the larvae to successfully raise the king. . The following is an example of the practical application of the embodiment of the method for evaluating the breeding of the queen bee of the present invention, but is not limited thereto.

For example, the computer system 1 can input the original data by the user and convert the parameters into the parameters of the plurality of maternal sources. The source materials of the plurality of maternal sources (eg, beekeepers) can be as shown in Table 1 below.

Among them, the EB _i and ES _{i of the} amount of honey collected, the amount of milk produced, and the amount of powder collected are 90 and 10, respectively, and the EB _i and ES _{i of the} cost are 10, 90, strong = 90, medium = 80, and weak = 70, respectively. Bring into the above formula (2), taking the parent source code VQM ₅ as an example, the amount of honey collected, the amount of milk produced and the amount of powder collected can be separately calculated as follows: the amount of honey collected: , milk production: , the amount of powder collected: , and so on, the calculation results of the remaining parameters can be obtained, and the converted parameters can be as shown in Table 2 below.

Next, the computer system 1 can bring the value in the above table 2 into the above formula (1), wherein the honey weight is 20%, the milk weight is 20%, and the powder weight is 20%, the leadership weight For 15%, the health weight is 15%, and the cost weight is 10%. The parent group scores of the 1st to 5th maternal sources can be calculated, as shown in Table 3 below.

Then, the computer system 1 can input the original data by the user and convert the parameters into the parameters of the plurality of parent sources, wherein the original data of the plurality of parent sources (eg, the beekeeper's beehive) can be as shown in Table 4 below.

Among them, the EB _i and ES _{i of the} amount of honey collected, the amount of milk produced, and the amount of powder collected are 90, 10, strong = 90, medium = 80, weak = 70, brought into the above formula (4), with the parent code VQF ₅ For example, the amount of honey collected, the amount of milk produced, and the amount of powder collected can be calculated as follows: , milk production: , the amount of powder collected: , and so on, the calculation results of the remaining parameters can be obtained, and the converted parameters can be as shown in Table 5 below.

Then, the computer system 1 can bring the value in the above table 5 into the above formula (3), wherein the production weight is 20%, the leadership weight is 20%, the warm weight is 20%, and the disease weight is 20 %, the industrious weight is 20%, and the scores of the fathers of the 1st to 5th parents can be calculated, the scores of the parent group, and the scores of the father group, as shown in Table 6 below.

Next, the computer system 1 can bring the data of the above Tables 3 and 6 into the above formula (5) to calculate the average value of each candidate, such as the average amount of honey collected, the amount of milk produced or the amount of powder collected, for example: collecting honey The mean of the quantities is as follows: Among them, after SUM ₁ to SUM _{25 are} sorted from large to small, if SUM ₂₅ is the highest value (maximum value), VQM ₅ (manufacturer name: coated O square) can be selected as the parent source, and VQF ₅ can be selected ( The beehive number: 173) is used as a parent source to jointly form the candidate combination, and the user places the larvae from the parent source and the drone selected from the parent source in the beehive 3, and the user removes the The bee king of Beehive 3, to facilitate the cultivation of the new queen. By analogy, the average value of the milk production amount or the powder collection amount can be calculated as the basis for selecting the candidate combination, which can be understood by those having ordinary knowledge in the technical field, and will not be described here.

After that, the computer system 1 can monitor the volume of the beehive 3 via the radio 2, and if the volume rises above the threshold, and then falls below the threshold, it can be determined that the larva of the maternal source has become the beehive. The bee king of 3, the candidate combination is output as the breeding king combination of the queen bee, otherwise, the candidate mean corresponding to the candidate combination is removed (SUM ₂₅ ), and the breeding step S3 is performed again to adopt the largest of SUM ₁ to SUM ₂₄ The parent source and the parent source corresponding to the value are used as the candidate combination, and the pairing step S4 is performed to output the parenting combination for the user to generate other beehives 3 by using the parenting combination (maternal source and parent source) that generates the queen. The bee king can also use the Yuwang combination as the mother source and father source of the next year. Among them, the next year's mother source and father source can exclude the combination of the kings used in the previous three years, in order to avoid the problem of inbreeding to produce problems (such as: disability, etc.).

The main features of the embodiment of the method for evaluating queen bee breeding according to the present invention are as follows: First, the computer system 1 can be connected to the database, and the database can store parameters of several maternal sources and a plurality of parents. a parameter of the source, the computer system 1 can be coupled to at least one sounder 2 for measuring the volume of the beehive 3, the beehive 3 containing the queen bee (old queen) and a plurality of bees; Then, the computer system 1 can calculate a plurality of parent group scores according to the parameters of the parent source, and then calculate a plurality of parent group scores according to the parameters of the parent source, and calculate the average value of each parent group score and each parent group score respectively. a candidate mean value; next, the computer system 1 selects the parent source and the parent source corresponding to the maximum value among the plurality of candidate mean values as the candidate combination, and outputs the new combination process for the user to perform the new process; and thereafter, the computer system 1 The volume of the beehive 3 is monitored by the sounder 2, and if the volume rises above the threshold, it falls below the threshold, and the candidate combination is output as the Yuwang combination (to breed a new species of queen bee). Otherwise, reject the candidate corresponding to a combination of the average candidate, until the output of the king incubated with or without the composition until the mean value candidate.

According to the embodiment of the method for evaluating the breeding of the queen bee of the present invention, the volume of the beehive 3 can be measured by the computer system 1 and the sounder 2, and can be automatically determined according to the objective index (such as the amount of honey collected, the amount of milk produced, and the amount of powder collected). Habits to evaluate the best breeding combination of the queen bee, without the need to manually check the box, you can achieve the "automatically find the optimization of the generation of the next generation of the queen of the queen, the parent source of the combination of the king of the king" effect, can rule out the breeding method of the known bee king "easy to miss each The best mating time of the bee king of the box" Depending on whether the new queen is returning to the box, "there is no way to assess the source of the parental group of the new queens based on objective indicators" and "bad results caused by human error or poor experience."

While the invention has been described in connection with the preferred embodiments described above, it is not intended to limit the scope of the invention. The technical scope of the invention is protected, and therefore the scope of the invention is defined by the scope of the appended claims.

S1‧‧‧Preparation steps

S2‧‧‧ Estimation steps

S3‧‧‧ breeding steps

S4‧‧‧ Pairing steps

Claims (6)

A method for evaluating a bee breeding method comprises: a preparation step of connecting a computer system to a database, the database storing parameters of a plurality of maternal sources and parameters of a plurality of parent sources for performing a Yuwang operation, the computer The system is coupled to the at least one sound receiver for measuring the volume of a beehive, the beehive includes a queen bee and a plurality of bees; and in an estimating step, the computer system calculates a plurality of parent group scores according to the parameters of the parent source, according to the The parameter of the parent source calculates a plurality of parent group scores, and the average value of each parent group score and each parent group score is calculated as a candidate mean value; in a selection step, the computer system selects the mother corresponding to the maximum value among the plurality of candidate mean values The source and the parent source are output as a candidate combination, and a user performs a pairing step after the queen is removed from the old process; and the pairing step monitors the volume of the beehive by the computer system via the microphone, and if the volume rises After more than one threshold value, it falls below the threshold value, and the candidate combination is output as a Yuwang combination. Otherwise, the candidate mean corresponding to the candidate combination is removed, and Breeding rows of the step, until the output of the non-incubated until the king or the combination candidate mean. According to the method for evaluating queen bee breeding according to item 1 of the patent application scope, in the estimating step, the parent source number is f, the parent source number is m, and the m-th parent source group score is calculated. As shown in the following example, Where BMS _m is the mother group score of the mth maternal source, W _m1 is the honey weight of the mth maternal source, W _m2 is the milk weight of the mth maternal source, and W _m3 is the mth maternal source Powder weight, W _m4 is the leadership weight of the mth parent source, W _m5 is the health weight of the mth parent source, and W _m6 is the cost weight of the mth parent source. Where IE _mi is the i-th parameter of the mth maternal source, and i=1~6 are respectively a honey-collecting amount, a milk yield, a powder-collecting amount, a leadership coefficient, a health factor, and a cost coefficient. EB _i is the maximum value of the ith parameter, ES _i is the minimum value of the ith parameter, and E _mi is the original data of the ith parameter. The maximum value of the original data for the ith parameter, The minimum value of the original data of the i-th parameter; the parent group score of the f-th parent source is calculated as follows: Where BFS _f is the parent group of the fth parent source, W _f1 is the production weight of the _fth parent source, W _f2 is the leadership weight of the fth parent source, and W _f3 is the tame weight of the fth parent source W _f4 is the disease resistance weight of the _fth parent source, and W _f5 is the hard work weight of the fth parent source. Where QE _fj is the jth parameter of the fth parent source, qE _fk is the kth coefficient of the _fth parent source, and k=1~5 is a production coefficient, a leadership coefficient, a tempering coefficient, and a Disease resistance coefficient, a diligence factor, EB _j is the maximum value of the jth parameter, ES _j is the minimum value of the jth parameter, and E _fk is the original data of the kth coefficient. The maximum value of the raw data for the kth parameter, The minimum value of the original data for the kth parameter. According to the bee breeding evaluation method described in item 2 of the patent application scope, the calculation method of each candidate mean value is as follows: Where l is the combination number of the parent source and the parent source, SUM _l is the candidate mean of the first parent source and the parent source combination, BMS _m is the mother group score of the mth parent source, BFS _f is the f The parent group's parent group score. According to the method for evaluating the breeding of queen bee according to item 2 of the patent application scope, wherein the weight of the mth maternal honey is 20%, the weight of the mth maternal milk is 20%, and the amount of the mth maternal powder The weight is 20%, the leadership weight of the mth parent source is 15%, the health weight of the mth parent source is 15%, and the cost weight of the mth parent source is 10%. According to the evaluation method of the queen bee breeding according to item 2 of the patent application scope, the production weight of the fth parent source is 20%, the leadership weight of the fth parent source is 20%, and the tame weight of the fth parent source is 20 %, the f-father source has a disease resistance weight of 20%, and the f-father source has a hard work weight of 20%. According to the method for evaluating queen bee breeding according to item 1 of the patent application scope, the plurality of parent group scores are several parent group honey collecting scores, several parent group milking scores or several parent group mining scores.